Where Do AI Agents Fit in CI/CD Pipelines?

AI agents can be embedded at five key points in CI/CD pipelines: pull request review, build failure triage, test selection and repair, vulnerability patching, and post-deploy verification. Unlike traditional scripted pipelines, agentic CI/CD gives agents a goal rather than a command list, allowing them to reason about runtime state and handle unanticipated cases. The article covers practical implementation patterns (including GitHub Actions YAML with Claude Code), security risks like prompt injection and credential exposure, governance challenges, and a comparison of supporting tools including GitLab Duo, GitHub Copilot, Claude Code, and Snyk. Key guidance: keep agents in a proposal role, use least-privilege credentials, cap token spend, and maintain human approval gates for production deployments.